Triple

T14870015
Position Surface form Disambiguated ID Type / Status
Subject Maputo Fortress E349717 entity
Predicate near P350 FINISHED
Object Maputo waterfront E349714 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maputo waterfront | Statement: [Maputo Fortress, near, Maputo waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maputo waterfront
Context triple: [Maputo Fortress, near, Maputo waterfront]
  • A. Maputo Fortress
    Maputo Fortress is a historic Portuguese-built military fort in Maputo, Mozambique, now serving as a cultural and tourist attraction.
  • B. Simons Town
    Simons Town is a historic naval town on the False Bay coast of South Africa’s Cape Peninsula, known for its maritime heritage and nearby African penguin colony at Boulders Beach.
  • C. Manzini
    Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
  • D. Maputo Bay chosen
    Maputo Bay is a large, sheltered inlet of the Indian Ocean on the southern coast of Mozambique, known for its strategic port, rich marine life, and proximity to the capital city, Maputo.
  • E. Plettenberg Bay
    Plettenberg Bay is a popular coastal resort town on South Africa’s Garden Route, known for its beaches, marine life, and scenic surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded57967748190a7c05ebb74aacb7c completed April 15, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe651067cc8190b9c218ef1f802762 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:55 a.m.